SYSTEMATIC REVIEW article
Front. Nutr.
Sec. Nutrition and Metabolism
This article is part of the Research TopicNatural Products: A Microecological Perspective for Treating Diabetes and its ComplicationsView all 12 articles
Mapping the Evolution of Botanical Interventions for Diabetic Neuropathy: A Two-Database Bibliometric Landscape from 2005 to mid-2025
Provisionally accepted
- 1Southwest Medical University, Luzhou, China
- 2Department of Neurology, The Affiliated Hospital, Southwest Medical University, Luzhou, China
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Objective: This study conducts a comprehensive bibliometric analysis to map the evolutionary trajectory, identify research hotspots, and forecast future trends in botanical interventions for diabetic neuropathy (DN) from 2005 to mid-2025. Methods: We retrieved relevant publications from the Web of Science Core Collection and PubMed (2005 to mid-2025). After applying inclusion criteria and removing duplicates, 414 articles and reviews were analyzed using VOSviewer, CiteSpace and Bibliometrix to visualize publication trends, collaboration networks, and keyword dynamics. Results: Annual publication output exhibited exponential growth after 2020, peaking at 71 publications in 2024. China dominated the research output, followed by India and the USA, though international collaboration remained limited. Keyword analysis identified four major research hotpots: molecular mechanisms (e.g., oxidative stress, NF-κB), clinical translation, systems pharmacology of Traditional Chinese Medicine (TCM), and signaling pathways. Burst detection revealed "network pharmacology" and "TCM" as the current research frontiers. Conclusion: Research on botanical interventions for DN is rapidly expanding, with a clear shift towards mechanistic and computational approaches. Future efforts should prioritize robust clinical trials, international cooperation, and deeper mechanistic studies to translate botanical potential into evidence-based therapies.
Keywords: Bibliometrics, botanical interventions, Diabetic neuropathy, Traditional Chinese Medicine, visualization
Received: 18 Oct 2025; Accepted: 12 Dec 2025.
Copyright: © 2025 Cui, Liu, Guo, Yang, Wang, Wang, Wang and WANG. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: XINGXIA WANG
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